Add large # of files section to good practices.

content/good_hcc_practices/_index.md

@@ -36,6 +36,16 @@ all the necessary files need to be either moved to a permanent storage, or delet
 disk, in your program.** This approach stresses the file system and may cause general issues. 
 Instead, consider reading and writing large blocks of data in memory over time, or 
 utilizing more advanced parallel I/O libraries, such as *parallel hdf5* and *parallel netcdf*.
+#### Large numbers of files considerations
+    * **No POSIX file system performs well with an excessive number of files**, as each file operation 
+requires opening and closing, which is relatively expensive.
+    * Moreover, network data transfer operations that involve frequent scanning (walking) of every 
+file in a set for syncing operations (backups, automated copying) can become excessively taxing for 
+network file systems, especially at scale.
+    * Large numbers of files can take an inordinate amount of time to transfer in or out of network 
+file systems during data migration operations.
+    * **Computing workflows can be negatively impacted by unnecessarily large numbers of file operations**, including file transfers.
+
 
 ## Internal and External Networks
 * **Use archives to transfer large number of files.** If you are performing file transfer of